Create an indicator from the library

From the indicator library, you can launch a process to create different kinds of indicators from different sources

시작하기 전에

Role required: pa_power_user or higher

프로시저

1. Navigate to All > Platform Analytics > Library > Indicators.
2. Select Create indicator.
   
3. Select the type of indicator: Automated, Formula, Manual, External.
   

   Automated indicator

   An automated indicator uses an indicator source as its data set. The indicator source specifies a table or database view, conditions for filtering records from that source, and the frequency at which you expect to display the data. The indicator applies an aggregator and optional conditions to this data. If you have Data snapshots enabled on your instance, you can base automated indicators on Data snapshots sources, instead.

   Formula indicator

   The score of a formula indicator is calculated from a mathematical statement that includes data from one or more other indicators. This data can be the score of an indicator or a PAFormulaUtils() calculated value for the indicator. If you have Data snapshots enabled on your instance, you can use Data snapshots indicators in the formula. However, you cannot mix classic and Data snapshots indicators in the formula, and PAFormulaUtils() does not support Data snapshots.

   Manual indicator

   In some cases, you must manually enter indicator scores into a scoresheet.

   External indicator

   You can collect data via SQL queries from JDBC data sources external to the ServiceNow AI Platform.

4. Under Source type, if you have Data snapshots enabled on the instance and you are creating an automated or formula indicator, select whether to use a Data snapshots source or a classic indicator source.
5. Provide a meaningful name and description for the indicator.
6. Select Create.

결과

You are taken to the appropriate form, depending on your selection.

다음에 수행할 작업

Follow the instructions for the form that opens:

• Create an automated indicator
• Create a formula indicator
• Manual indicators
• Using Performance Analytics with external data